Section 006, Instructor: Shana Pote

Weekly Question #8: Complete by November 9, 2016

Leave your response as a comment on this post by the beginning of class on November 9, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!

Here is the question:

Once again, find another online article dated within last two weeks from a credible source that has something to do with data and is interesting and relevant to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

21 Responses to Weekly Question #8: Complete by November 9, 2016

  • The article I decided to read was “Barack Obama delivers stinging critique of FBI: ‘We don’t operate on leaks”. The main purpose of the article was to touch on the election and Obama’s thoughts on it. Obama also spoke on Hillary issue with the secret emails being deleted and are now pursued by the FBI. This event made Trump gain a one percent lead in the polls. I found this article interesting because the election is Tuesday and there is a lot of things going on in the media that affecting the media in a number of ways.

  • The article I choose is “The Gone Girl With The Dragon Tattoo On The Train”. It caught my eyes as it is a combination of the titles of the novels I’ve read. The article points out how books with titles including the word “the girl/ girls” were better sold. However, interestingly, the “girl” in the title is much more likely to be a woman than an actual girl, and the author of the book is more likely to be a woman. But if a book with “girl” in the title was written by a man, the girl is significantly more likely to end up dead. It also provides many different analysis on these novels. It’s really interesting as I’ve never noticed these existing yet funny phenomenon in the books I love.

  • The article that I read was called, “Executives still mistrust insights from data and analytics,” and it pointed out that only 10 percent of executives feel like they truly excel at creating a quality analytics team. The article points out that “lack of trust” that comes from using data analytics for decision making instead of intuition starts at the top and trickles its way down the organizational ladder. KPMG recomends seven areas to close the gaps in trust, which are:
    1. Assess the trust gaps
    2. Create purpose by clarifying goals
    3. Raise awareness to increase internal engagement
    4. Develop an internal data and analytics culture
    5. Open up the ‘black box’ to encourage greater transparency
    6. Provide a 360-degree view by building ecosystems
    7. Stimulate innovation and analytics R&D to incubate new ideas and maintain a competitive stance


    The article I found was “Publishing Better Science.” In it, the author summarizes his experience at an open data in science convention. Presenters spoke about the obvious altruistic benefits of open data (many people being able to see your data and build off of it to create their own) and how, sometimes, open data can also serve selfish reasons, such as easily seeing your own past work and showing that you are credible because of such-and-such past work that you have done. One of the most intersting parts, to me, was the example of astronomy. Astronomy has actually been practicing open data for as long as it has been around. Scientists in the feild openly shared maps of the stars and their own data. Even if the past data may be wrong (such as when astronomy was heavily influenced by astrology), people have still been able to build off of the data for ages.

  • The article I choose is “A Transit Strike In Philly Could Lower Turnout, Especially Among Black And Poor Voters”. I choose this article because I do not know how the strike will influence the election. The author, Dan Hopkins, shows the relationship between residents who are black, residents who earn median household income, and residents who ride public transit to work in Philadelphia.The relationship actually is substantial. The share of people using public transit rise by 27 percentage points from no black residents to entirely black. Also, the public transit ridership drop by 9.6 percentage points from Philadelphia’s first-quartile census tract (with a median household income of $25,600) to its third-quartile Census tract (with a median household income is $52,270).

  • Article Link:
    An article that I found interesting was “Big Data: How A Big Business Asset Turns Into A Huge Liability” by Bernard Marr. This article focuses on the liabilities that come with big data, and the effects that those liabilities have on a business. The article discusses two main liabilities that business may have when dealing with big data. The first being high costs for storing big data, especially storing personal data; and the second liability is properly using and storing personal employee data with the employees’ consent. This relates to my field of interest, because as one who inspires to own their own business someday, understanding the repercussions of dealing with big data is vital to not only a companies financial structure, but also their reputation.

  • I found an article titled “How to View Richer Year for the Poor and Middle-Class”. The article talks about how the rise in income over the years and how it is significant because there was a substantial reduction in poverty in the economy. The article also uses data Visualization that looks like bar codes. I found this very interesting because I had never seen that type of data visualization but it effectively portrays the difference in income for the percentile of people with lower income. it also shows how lower class groups in previous years have experienced little or no change in income levels compared to upper class groups. From this article you can conclude that the poorer population of the economy is gradually reducing.

  • The article I chose that is interesting and relevant to me is “Final Election Update.” I find this article interesting because politics is something that affects all of us whether we want to take part in it or not. I am a registered democrat and this article mainly speaks of how the democratic party is most likely to win the presidential election. However, even though I am democrat, I am still very open minded and consider both sides! This article also talks about the wide variety of possible outcomes for this election which is something that also grabbed my attention. For obvious reasons, I would like to see the democratic party take the win tonight, but we will just have to wait and see!

  • The data related article I chose this week is This article highlights a problem many states today are seeing as a result of polling across them. This is a nationwide trend showing that not only voters spend more time keeping tabs on national politics as opposed to local, but also do not know which party has a controlling majority in their state. Local politics within each state has a tendency to receive much less media attention in general from major outlets, therefore leaving people a lot less likely to get the information to keep up with the affairs going on within their state. In my own personal experience, I have found I have to put in much more effort to search from within local news to find out the information regarding local politics than I would if I wanted to find information on the national scale. I think there tends to be an overall higher interest in national politics because of the greater media coverage and in some case the stakes for the country being much higher.

  • The article “Why We Don’t Know How Much Sexism Is Hurting Clinton’s Campaign” from FiveThirtyEight caught my eye because it discusses the role of gender in elections, it cites surveys and previous U.S elections about the role of sex in running for office, and concludes that measuring how sexism affects Clinton is difficult due to the nature of how people decide who to vote for. It is highly relevant to me because I previously believed that people heavily consider of candidate’s gender before voting; however, the article brings up many interesting points that would suggest that the role of gender in running for office is more mysterious than it seems.

  • This actually caught my eye more than others because the data visualization is very good. This is a map of where flu symptoms occur throughout Australia. It was designed to show researchers when flu seasons begin by region. It’s a really effective because you can mouse over each place to see how many people are reporting flu and what symptoms they suffer from, and you can easily zoom to see a more granular view. It’s also integrated in the page very well, there aren’t any weird errors like you often see in interactive things on the internet.

  • The article that i found very interesting was the one about the different challenges that the next president will have to face. the first thing that stood out was the visual of the two main candidates. The colors of the background of the picture made me want to read it. i found it very interesting the list of challenges that mostly have to do with the past. The article definitely put a different view of the job and the struggle that are not explain and looked at every day.

  • This is an article from Pew Research that reveals the different views between men and women among Clinton’s supporters. The research shows that half of her supporters think that Clinton’s “being held to a higher standard than past presidents because she is a woman.” Also, the percentage of female supporters who hold this view is higher than that of male supporters (57% vs 50%.)

  • The article I read was “The 2016 Cubs Were Only The 70th Most Dominant Team Ever” and was found on FiveThirtyEight. There is a table that shows the best teams of all time ranked by composite elo. Elo ratings are a measure of relative team strength. In this article, I learned the New York Yankees came up most often on the best teams list. I enjoyed looking at the great data visualizations to understand just how great this team was.

  • The article I read was ‘Election Update: National Polls Show Clinton’s Lead Stabilizing — State Polls, Not So Much’. The poll will end soon, and Trump will be the next president. It will prove that the view of article was wrong. Maybe the data that been used is dirty. Fortunately, the writer said that the result was nat clear. ‘538’ will also experience its’ first failure on Election Forecast.

  • The article I read from the Journal of Accountancy discussed how comfortable Americans feel about their financial situation since the financial crisis. The Personal Financial Satisfaction Index measures how Americans feel financially. Third quarter results released on October 27th showed an index score of 19.0, the highest rating since the first quarter of 2007, when a booming housing and jobs market contributed to a positive sentiment. This number is interesting given the unstable political climate in the country currently, and it also provides insight into a rebounding economy and how individuals have recovered following the financial crisis.

  • I read an article titled “What Data Tells Us About the 2016 Presidential Election.” In the article it talked about how over time articles and new about trump became more viewed then articles about Clinton. It then gave a 12 month view of each month and how many views each candidate received. I thought it was interesting that over time Trump news became more viewed than Clinton news. It is intresting to think that how staying relevant helped him win the election.

  • I did not necessarily find an article but rather an in depth analysis supported by data regarding NFL predictions week by week. This data is compiled by FiveThirtyEight and altered at the end of each NFL week depending upon whether or not a team has won or lost. The data set shows playoff chances, super bowl possibilities, and even to give insight to sports analysts and fans. Furthermore, FiveThirtyEight shows win probability for each week and is contingent upon how the team has performed throughout the season. For football fans like me this data set is extremely amusing.

  • The article I read was titled “The Broncos Pass Defense Is Somehow Even Better This Season.” It main point is that it brings up facts and figures explaining how their pass defense is even better this year than the last year. They have the third best sack rate in the by taking down the passer on 8.4 percent of all pass plays. They have only allowed opposition teams to connect on a measly 53.5 percent of all passes and even when the opponents do complete a pass they hold them on average to only 10.8 yards per pass play. The Broncos won it all last year behind their defense and to see that they have only improved this year is truly a scary for the rest of the league.

  • This FiveThirtyEight article talks about how the Cubs World Series win was historic, in the fact that they had not won in 108 years, but, according to FiveThirtyEight they were a below average team when it came to the “most dominant” World Series winners. The way they determined dominance was the Elo rating system, which compares the relative skill of players. Personally, I think that dominance cannot be measured through statistics, as every World Series is different. While one team in the 1940’s may look very dominant, they would not compare to today’s teams.

  • The article I chose discuss the wide range of projections for a win for the Clinton campaign. The article provides three reasons: (1) She is is still within the range where a fairly ordinary polling error could eliminate it (2) there was a higher third- party vote count (3) Clinton’s coalition is not structured into the electoral college as well. This article is relevant to me, because she was predicted to win by a large buffer; however not only was the race tight, Clinton also ended up losing.

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